Research on deep unfolding network reconstruction method based on scalable sampling of transient signals
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79466-0
Abstract: In order to solve the problems of long reconstruction time and low reconstruction accuracy of compressed sensing reconstruction algorithm in the measurement of transient signals, a deep unfolding network reconstruction method based on scalable sampling… read more here.
Keywords: scalable sampling; method; deep unfolding; reconstruction ... See more keywords
Single Pixel Imaging Based on Multiple Prior Deep Unfolding Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2024.3420787
Abstract: Single-pixel imaging (SPI), an imaging technique based on the theory of compressed sensing, is limited in real-time imaging and high-resolution images due to its relatively slow imaging speed. In recent years, deep unfolding network compressed… read more here.
Keywords: multiple prior; deep unfolding; reconstruction; single pixel ... See more keywords
Deep Unfolding Network for PAPR Reduction in Multicarrier OFDM Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3195042
Abstract: In this letter, we propose a Deep Unfolding Network called PR-DUN to reduce the peak-to-average power ratio (PAPR), which is a thorny problem in Orthogonal Frequency-Division Multiplexing (OFDM) systems. The proposed multi-layer model is constructed… read more here.
Keywords: ofdm systems; unfolding network; papr reduction; deep unfolding ... See more keywords
A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2025.3600648
Abstract: Weighted Minimum Mean Square Error (WMMSE) precoding can achieve near-optimal weighted sum rate (WSR) in MU-MIMO-OFDM systems, but it suffers from high computational complexity and severe dependence on accurate channel state information (CSI). This letter… read more here.
Keywords: deep unfolding; driven deep; network; wmmse ... See more keywords
Dual-Branch Multiscale Channel Fusion Unfolding Network for Optical Remote Sensing Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3221614
Abstract: Single-image super-resolution (SR) technology is critical in remote sensing fields because it can effectively improve the details of target images. However, the application of deep learning is limited due to the lack of interpretability and… read more here.
Keywords: fusion; unfolding network; remote sensing; image ... See more keywords
Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3263100
Abstract: Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance. Each stage in DUN corresponds… read more here.
Keywords: network; path controllable; dun; unfolding network ... See more keywords
DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Bounds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3272286
Abstract: We present a new deep unfolding network for analysis-sparsity-based Compressed Sensing. The proposed network coined Decoding Network (DECONET) jointly learns a decoder that reconstructs vectors from their incomplete, noisy measurements and a redundant sparsifying analysis… read more here.
Keywords: network; deconet; based compressed; unfolding network ... See more keywords